Different Approaches to Estimation of the Gompertz Distribution under the Progressive Type-II Censoring Scheme
Keyword(s):
Type Ii
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This paper provides an estimation method for an unknown parameter by extending weighted least-squared and pivot-based methods to the Gompertz distribution with the shape and scale parameters under the progressive Type-II censoring scheme, which induces a consistent estimator and an unbiased estimator of the scale parameter. In addition, a way to deal with a nuisance parameter is provided in the pivot-based approach. For evaluation and comparison, the Monte Carlo simulations are conducted, and real data are analyzed.
2019 ◽
Vol 10
(5)
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pp. 905-917
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2019 ◽
Vol 8
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pp. 189-199
2016 ◽
Vol 12
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pp. 519
2019 ◽
Vol 26
(2)
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pp. 91-102
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2017 ◽
Vol 14
(7)
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pp. 3156-3162
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